Medicine use by the elderly in Goiania, Midwestern Brazil

Rev Saude Publica. 2013 Feb;47(1):94-103. doi: 10.1590/s0034-89102013000100013.
[Article in English, Portuguese]

Abstract

Objective: To analyze the pattern of use of medications use in aged people and associate it with socioeconomic aspects and with the self-rated health.

Methods: A population-based cross-sectional design study with 934 elderly people from Goiania, Midwestern Brazil, between December 2009 and April 2010. Data were collected through a questionnaire. The dependent variable was the number of medications consumed and the independent variables were sex, marital status, education, type of residence, age, income, and self-rated health. Drugs were classified according to the Anatomical Therapeutic Chemical Classification. The inappropriate drugs for the elderly were identified according to the Beers-Fick criteria. The tests used were Chi-square and Fisher's exact test, p was considered significant when < 0.05.

Results: The elderly consumed 2,846 medicines (3.63 medications/person). The most commonly consumed were those which act in the cardiovascular system (38.6%). The prevalence of polypharmacy was 26.4% and self-medication was 35.7%. The most used drugs for self-medication were analgesics (30.8%), 24.6% of the elderly consumed drug considered inappropriate. Women, widows, those aged 80 or over and with worse self-rated health were more likely to practiced more polypharmacy. Most self-medication was associated with lower levels of education and worse self-rated health.

Conclusions: The pattern of drug use by the elderly was similar to that found in the elderly in other regions of Brazil. The number of drugs used, the prevalence of self-medication and practice of polypharmacy and inappropriate drug use were within the national average.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Brazil
  • Cross-Sectional Studies
  • Drug Utilization / classification
  • Drug Utilization / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Polypharmacy*
  • Self Concept
  • Self Medication
  • Sex Factors
  • Socioeconomic Factors